What are the hardware requirements for Pretraining SCPWiki 032025 12B Instruct?

Pretraining SCPWiki 032025 12B Instruct requires approximately 24.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pretraining SCPWiki 032025 12B Instruct and how large is it?

Pretraining SCPWiki 032025 12B Instruct is developed by AiAF, a model with 12b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Pretraining SCPWiki 032025 12B Instruct?

Pretraining SCPWiki 032025 12B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pretraining SCPWiki 032025 12B Instruct by AiAF — VRAM 24.5GB, 128K context

Name: Pretraining SCPWiki 032025 12B Instruct
Author: AiAF

Pretraining SCPWiki 032025 12B Instruct is an open-source language model by AiAF. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Axolotl Base model:finetune:mistralai/... Base model:mistralai/mistral-n... Dataset:aiaf/pretraining-scpwi... Endpoints compatible Generated from trainer Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/AiAF/Pretraining-SCPWiki-032025-12B-Instruct

Pretraining SCPWiki 032025 12B Instruct Parameters and Internals

LLM Name	Pretraining SCPWiki 032025 12B Instruct
Repository 🤗	https://huggingface.co/AiAF/Pretraining-SCPWiki-032025-12B-Instruct
Base Model(s)	Mistral Nemo Base 2407 mistralai/Mistral-Nemo-Base-2407
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-25
Maintainer	AiAF
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5 0.0 GB
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131074
Torch Data Type	bfloat16

Rank the Pretraining SCPWiki 032025 12B Instruct capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Pretraining SCPWiki 032025 12B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
Qliphoth 12B V1.1	1000K / 24.5 GB	22	3
Qliphoth 12B V1	1000K / 24.5 GB	26	2
SauerkrautLM Nemo 12B Instruct	1000K / 24.5 GB	1473	22
Magnum V4 12B	1000K / 24.5 GB	1116	54
MN Slush	1000K / 24.5 GB	181	32
...g M Claude Opus High Reasoning	1000K / 24.5 GB	82	3
ChatWaifu V1.4	1000K / 24.5 GB	335	20
ChatWaifu 12B V2.0	1000K / 24.5 GB	175	22
Mistral Nemo Bophades 12B	1000K / 24.5 GB	18	9

Note: green Score (e.g. "73.2") means that the model is better than AiAF/Pretraining-SCPWiki-032025-12B-Instruct.